The researchers developed the Sleep Interpreter (SI), a neural network designed to decode semantic memory reactivation from human brain activity during sleep. By utilizing neural contrastive learning, the model aligns waking and sleeping EEG signals to isolate specific memory content from the brain's background rhythmic patterns. The study leveraged a massive dataset of 135 participants and roughl...去小宇宙查看完整单集简介
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